Timothy G. Mattson

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 36

Top Topics

Parallel Computing

Benchmark Suite

Sparse Matrices

Top Venues

IPDPS Workshops

Proc. VLDB Endow.

Publications

Raye Kimmerer, Timothy G. Mattson, Scott McMillan, Benjamin Brock, Erik Welch, Michel Pelletier, José E. Moreira
The GraphBLAS 3.0 Project. IPDPS (Workshops) (2024)
Benjamin Brock, Robert Cohn, Suyash Bakshi, Tuomas Karna, Jeongnim Kim, Mateusz Nowak, Lukasz Slusarczyk, Kacper Stefanski, Timothy G. Mattson
Distributed Ranges: A Model for Distributed Data Structures, Algorithms, and Views. CoRR (2024)
Benjamin Brock, Robert Cohn, Suyash Bakshi, Tuomas Karna, Jeongnim Kim, Mateusz Nowak, Lukasz Slusarczyk, Kacper Stefanski, Timothy G. Mattson
Distributed Ranges: A Model for Distributed Data Structures, Algorithms, and Views. ICS (2024)
Benjamin Brock, Scott McMillan, Aydin Buluç, Timothy G. Mattson, José E. Moreira
C++ and Interoperability Between Libraries: The GraphBLAS C++ Specification. IPDPS Workshops (2023)
Pascal Costanza, Ibrahim Hur, Timothy G. Mattson
Towards a GraphBLAS Implementation for Go. IPDPS Workshops (2022)
Benjamin Brock, Scott McMillan, Aydin Buluç, Timothy G. Mattson, José E. Moreira
GraphBLAS: C++ Iterators for Sparse Matrices. IPDPS Workshops (2022)
Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David Cohen, Timothy G. Mattson, Nesime Tatbul
Self-Organizing Data Containers. CIDR (2022)
A. Y. Matsuura, Timothy G. Mattson
Introducing the Quantum Research Kernels: Lessons from Classical Parallel Computing. CoRR (2022)
Timothy G. Mattson, Todd A. Anderson, Giorgis Georgakoudis, Konrad Hinsen, Anshu Dubey
PyOMP: Multithreaded Parallel Programming in Python. Comput. Sci. Eng. 23 (6) (2021)
Gábor Szárnyas, David A. Bader, Timothy A. Davis, James Kitchen, Timothy G. Mattson, Scott McMillan, Erik Welch
LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms. IPDPS Workshops (2021)
Michel Pelletier, Will Kimmerer, Timothy A. Davis, Timothy G. Mattson
The GraphBLAS in Julia and Python: the PageRank and Triangle Centralities. HPEC (2021)
Benjamin Brock, Aydin Buluç, Timothy G. Mattson, Scott McMillan, José E. Moreira
Introduction to GraphBLAS 2.0. IPDPS Workshops (2021)
Gábor Szárnyas, David A. Bader, Timothy A. Davis, James Kitchen, Timothy G. Mattson, Scott McMillan, Erik Welch
LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms. CoRR (2021)
Benjamin Brock, Aydin Buluç, Timothy G. Mattson, Scott McMillan, José E. Moreira
A Roadmap for the GraphBLAS C++ API. IPDPS Workshops (2020)
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Nesime Tatbul, Jesmin Jahan Tithi, Paul Petersen, Timothy G. Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
MISIM: An End-to-End Neural Code Similarity System. CoRR (2020)
Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Tim Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC (2020)
Mohsen Aznaveh, Jinhao Chen, Timothy A. Davis, Bálint Hegyi, Scott P. Kolodziej, Timothy G. Mattson, Gábor Szárnyas
Parallel GraphBLAS with OpenMP. CSC (2020)
Benjamin Brock, Aydin Buluç, Timothy G. Mattson, Scott McMillan, José E. Moreira, Roger Pearce, Oguz Selvitopi, Trevor Steil
Considerations for a Distributed GraphBLAS API. IPDPS Workshops (2020)
El Kindi Rezig, Ashrita Brahmaroutu, Nesime Tatbul, Mourad Ouzzani, Nan Tang, Timothy G. Mattson, Samuel Madden, Michael Stonebraker
Debugging Large-Scale Data Science Pipelines using Dagger. Proc. VLDB Endow. 13 (12) (2020)
Michael Stonebraker, Timothy G. Mattson, Tim Kraska, Vijay Gadepally
Poly'19 Workshop Summary: GDPR. SIGMOD Rec. 49 (3) (2020)
Jeff R. Hammond, Timothy G. Mattson
Evaluating data parallelism in C++ using the Parallel Research Kernels. IWOCL (2019)
Vasileios Porpodas, Rodrigo C. O. Rocha, Evgueni Brevnov, Luís F. W. Góes, Timothy G. Mattson
Super-Node SLP: Optimized Vectorization for Code Sequences Containing Operators and Their Inverse Elements. CGO (2019)
Nitish Kumar Srivastava, Hongbo Rong, Prithayan Barua, Guanyu Feng, Huanqi Cao, Zhiru Zhang, David H. Albonesi, Vivek Sarkar, Wenguang Chen, Paul Petersen, Geoff Lowney, Adam Herr, Christopher J. Hughes, Timothy G. Mattson, Pradeep Dubey
T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor Computations. FCCM (2019)
Bronis R. de Supinski, Thomas R. W. Scogland, Alejandro Duran, Michael Klemm, Sergi Mateo Bellido, Stephen L. Olivier, Christian Terboven, Timothy G. Mattson
The Ongoing Evolution of OpenMP. Proc. IEEE 106 (11) (2018)
Ran Tan, Rada Chirkova, Vijay Gadepally, Timothy G. Mattson
Enabling query processing across heterogeneous data models: A survey. IEEE BigData (2017)
Rob F. Van der Wijngaart, Evangelos Georganas, Timothy G. Mattson, Andrew M. Wissink
A New Parallel Research Kernel to Expand Research on Dynamic Load-Balancing Capabilities. ISC (2017)
Timothy G. Mattson, Carl Yang, Scott McMillan, Aydin Buluç, José E. Moreira
GraphBLAS C API: Ideas for future versions of the specification. HPEC (2017)
Evangelos Georganas, Rob F. Van der Wijngaart, Timothy G. Mattson
Design and Implementation of a Parallel Research Kernel for Assessing Dynamic Load-Balancing Capabilities. IPDPS (2016)
Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther
Associative Array Model of SQL, NoSQL, and NewSQL Databases. CoRR (2016)
Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John R. Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Carl Yang, John D. Owens, Marcin Zalewski, Timothy G. Mattson, José E. Moreira
Mathematical foundations of the GraphBLAS. HPEC (2016)
Stavros Papadopoulos, Kushal Datta, Samuel Madden, Timothy G. Mattson
The TileDB Array Data Storage Manager. Proc. VLDB Endow. 10 (4) (2016)
Rob F. Van der Wijngaart, Abdullah Kayi, Jeff R. Hammond, Gabriele Jost, Tom St. John, Srinivas Sridharan, Timothy G. Mattson, John Abercrombie, Jacob Nelson
Comparing Runtime Systems with Exascale Ambitions Using the Parallel Research Kernels. ISC (2016)
Marc Gamell, Daniel S. Katz, Keita Teranishi, Michael A. Heroux, Rob F. Van der Wijngaart, Timothy G. Mattson, Manish Parashar
Evaluating Online Global Recovery with Fenix Using Application-Aware In-Memory Checkpointing Techniques. ICPP Workshops (2016)
Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther
Associative array model of SQL, NoSQL, and NewSQL databases. HPEC (2016)
Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John R. Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, José E. Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy G. Mattson
Mathematical Foundations of the GraphBLAS. CoRR (2016)
Timothy G. Mattson, Romain Cledat, Vincent Cavé, Vivek Sarkar, Zoran Budimlic, Sanjay Chatterjee, Joshua B. Fryman, Ivan Ganev, Robin Knauerhase, Min Lee, Benoît Meister, Brian Nickerson, Nick Pepperling, Bala Seshasayee, Sagnak Tasirlar, Justin Teller, Nick Vrvilo
The Open Community Runtime: A runtime system for extreme scale computing. HPEC (2016)
Jeremy Kepner, David A. Bader, Aydin Buluç, John R. Gilbert, Timothy G. Mattson, Henning Meyerhenke
Graphs, Matrices, and the GraphBLAS: Seven Good Reasons. ICCS (2015)
Aaron J. Elmore, Jennie Duggan, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik
A Demonstration of the BigDAWG Polystore System. Proc. VLDB Endow. 8 (12) (2015)
Jeremy Kepner, David A. Bader, Aydin Buluç, John R. Gilbert, Timothy G. Mattson, Henning Meyerhenke
Graphs, Matrices, and the GraphBLAS: Seven Good Reasons. CoRR (2015)
Antonino Tumeo, John Feo, Oreste Villa, Simone Secchi, Timothy G. Mattson
Special Issue on Architectures and Algorithms for Irregular Applications (AAIA) - Guest editors' introduction. J. Parallel Distributed Comput. 76 (2015)
Rob F. Van der Wijngaart, Timothy G. Mattson
The Parallel Research Kernels. HPEC (2014)
Bryan Marker, Ernie Chan, Jack Poulson, Robert A. van de Geijn, Rob F. Van der Wijngaart, Timothy G. Mattson, Theodore E. Kubaska
Programming many-core architectures - a case study: dense matrix computations on the Intel single-chip cloud computer processor. Concurr. Comput. Pract. Exp. 24 (12) (2012)
E. Jason Riedy, Henning Meyerhenke, David A. Bader, David Ediger, Timothy G. Mattson
Analysis of streaming social networks and graphs on multicore architectures. ICASSP (2012)
Rob F. Van der Wijngaart, Timothy G. Mattson, Werner Haas
Light-weight communications on Intel's single-chip cloud computer processor. ACM SIGOPS Oper. Syst. Rev. 45 (1) (2011)
Jason Howard, Saurabh Dighe, Yatin Hoskote, Sriram R. Vangal, David Finan, Gregory Ruhl, David Jenkins, Howard Wilson, Nitin Borkar, Gerhard Schrom, Fabric Pailet, Shailendra Jain, Tiju Jacob, Satish Yada, Sraven Marella, Praveen Salihundam, Vasantha Erraguntla, Michael Konow, Michael Riepen, Guido Droege, Joerg Lindemann, Matthias Gries, Thomas Apel, Kersten Henriss, Tor Lund-Larsen, Sebastian Steibl, Shekhar Borkar, Vivek De, Rob F. Van der Wijngaart, Timothy G. Mattson
A 48-Core IA-32 message-passing processor with DVFS in 45nm CMOS. ISSCC (2010)
Timothy G. Mattson, Michael Riepen, Thomas Lehnig, Paul Brett, Werner Haas, Patrick Kennedy, Jason Howard, Sriram R. Vangal, Nitin Borkar, Gregory Ruhl, Saurabh Dighe
The 48-core SCC Processor: the Programmer's View. SC (2010)
Timothy G. Mattson, Rob F. Van der Wijngaart, Michael A. Frumkin
Programming the Intel 80-core network-on-a-chip terascale processor. SC (2008)
Wen-mei W. Hwu, Kurt Keutzer, Timothy G. Mattson
The Concurrency Challenge. IEEE Des. Test Comput. 25 (4) (2008)
Berna L. Massingill, Timothy G. Mattson, Beverly A. Sanders
: an entry point into PLPP for legacy applications. Concurr. Comput. Pract. Exp. 19 (4) (2007)
Timothy G. Mattson
How good is OpenMP. Sci. Program. 11 (2) (2003)
Berna L. Massingill, Timothy G. Mattson, Beverly A. Sanders
Parallel programming with a pattern language. Int. J. Softw. Tools Technol. Transf. 3 (2) (2001)
Timothy G. Mattson
An Introduction to OpenMP. CCGRID (2001)
Timothy G. Mattson
High Performance Computing at Intel: The OSCAR Software Solution Stack for Cluster Computing. CCGRID (2001)
Timothy G. Mattson
The Evolution of OpenMP. PARA (2000)
Timothy G. Mattson
An Introduction to OpenMP 2.0. ISHPC (2000)
Timothy G. Mattson
Cluster Computing at Intel. CLUSTER (2000)
Berna L. Massingill, Timothy G. Mattson, Beverly A. Sanders
A Pattern Language for Parallel Application Programs (Research Note). Euro-Par (2000)
Timothy G. Mattson, David Scott, Stephen R. Wheat
A TeraFLOP Supercomputer in 1996: The ASCI TFLOP System. IPPS (1996)
Timothy G. Mattson
Programming Environments for Parallel and Distributed Computing: a Comparison of P4, Pvm, Linda, and Tcgmsg. Int. J. High Perform. Comput. Appl. 9 (2) (1995)
Timothy G. Mattson
Programming Environments for Parallel Computing: A Comparison of CPS, Linda, P4, PVM, POSYBL, and TCGMS. HICSS (2) (1994)
Timothy G. Mattson
The Efficiency of Linda for General Purpose Scientific Programming. Sci. Program. 3 (1) (1994)
Nicholas Carriero, David Gelernter, Timothy G. Mattson, Andrew H. Sherman
The Linda® Alternative to Message-Passing Systems. Parallel Comput. 20 (4) (1994)
Timothy G. Mattson
. Compcon (1991)
Timothy G. Mattson
with embedded Fortran and C. ICSM (1990)
Timothy G. Mattson, Linda J. Shanbeck
Design and implementation of an Ada mathematics library. TRI-Ada (1989)